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Hadoop

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Network Data Analytics

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Data analytics lifecycle phases involve many steps such as variable selection, developing hypothesis, perform analytics, and visualization. These phases were discussed in the previous section. In this chapter, one of the main tools/platforms used for data analytics Hadoop is presented. Hadoop is an open-source project under Apache foundation. It used for processing large volume of data in a distributed manner. It is based on the distributed processing and follows master–slave architecture. MapReduce programming model is used to access the files in Hadoop. In this chapter, Hadoop and MapReduce programming with examples are discussed. The highlights of the chapter include case studies like retail analytics and network log analytics in Hadoop with MapReduce.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Ch. Brahm Prakash Government Engineering College, Jaffarpur, Delhi, India

    K. G. Srinivasa

  2. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India

    Siddesh G. M.

  3. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India

    Srinidhi H.

Authors
  1. K. G. Srinivasa
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  2. Siddesh G. M.
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  3. Srinidhi H.
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Correspondence to K. G. Srinivasa .

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Srinivasa, K.G., G. M., S., H., S. (2018). Hadoop. In: Network Data Analytics. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-77800-6_2

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  • DOI: https://doi.org/10.1007/978-3-319-77800-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77799-3

  • Online ISBN: 978-3-319-77800-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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